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Altamira Technologies Corporation has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities by focusing on creating innovative solutions leveraging common standards in architecture, data and security.
Altamira believes that our people and the culture of our company differentiate us from other companies. We focus on recruiting talented, self-motivated employees that strive to find a way to get things done.
Responsibilities:
路聽聽聽聽聽聽聽聽聽The Data Scientist聽Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.
Required聽qualifications/skills:
Education/Experience:
聽
- 聽聽聽聽聽聽聽聽聽MA or MS from an accredited institution of higher learning in a STEM-related discipline AND 5 years of relevant experience;聽OR
- 聽聽聽聽聽聽聽聽聽BA/BS degree in a STEM-related discipline AND 10 years of relevant experience
Qualifications:
- 聽聽聽聽聽聽聽聽聽Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience.
- 聽聽聽聽聽聽聽聽聽Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering techniques, neural networks, deep learning models, image recognition and algorithm employment or development in support of any of the foregoing.
- 聽聽聽聽聽聽聽聽聽Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
- 聽聽聽聽聽聽聽聽聽Familiarity with agile software development project management frameworks (e.g., Scrum, Kanban, Lean, etc.) to deliver new capability.
- 聽聽聽聽聽聽聽聽聽Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
- 聽聽聽聽聽聽聽聽聽Current/active TS/SCI clearance
Desired Qualifications/Skills:
- 聽聽聽聽聽聽聽聽聽Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic, Confluence, etc.)
- 聽聽聽聽聽聽聽聽聽Certification in AWS (AI/ML specialty).
- 聽聽聽聽聽聽聽聽聽Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain.
- 聽聽聽聽聽聽聽聽聽Experience working within a DoD or Intelligence Community (IC) operational environment and with DoD/IC geospatial data repositories.
- 聽聽聽聽聽聽聽聽聽Familiarity with Army, DoD or IC GEOINT or Geospatial processes, policy and programs.
- 聽聽聽聽聽聽聽聽聽Experience with Microsoft Office tools to deliver reports, graphics and briefings.
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